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Feminist Narrative Analytics: Letters, Archives and Gendered Labour Politics
By: Maria Tamboukou
Edited by: Jamie Lewis
Published: 2015 | Product: SAGE Research Methods Datasets
This dataset is designed for teaching feminist narrative analysis. This data is provided by Professor Maria Tamboukou from the University of East London, and is taken from research she conducted in the New York Public Library with letters of women trade unionists in the New York garment industry in the first half of the twentieth century. The example encourages thinking about how to follow narrative tropes and feminist analytics in collecting, reassembling and analysing letters from the archive. The dataset file is accompanied by a teaching guide and a student guide.
Methods:
Archival research
Data Type:
Letters
In this tab you will find guides on using this dataset. The Teaching Guide is designed for faculty who are teaching research methods and statistics, with suggestions on how to use the dataset in lab exercises, in homework assignments and as exam questions. The Student Guide introduces the method for students, and can be used in teaching to provide students with an introductory overview of the method or test.
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About This Dataset
Citation Provided by Data Source
Fannia M. Cohn papers. Manuscripts and Archives Division. The New York Public Library. Astor, Lenox, and Tilden Foundations.
Data author(s) and affiliations
Professor Maria Tamboukou, University of East London
Dataset source website address
Funding sources/suppliers
British Academy, small grant: SG112079
Data collection dates
June–July 2012
Unit of analysis
Women trade unionists in the garment industry, US
Location covered by data
The New York Public Library. Astor, Lenox, and Tilden Foundations.
Archival research
